{"id":"W4396624264","doi":"10.5194/tc-18-2239-2024","title":"Understanding the drivers of near-surface winds in Adélie Land, East Antarctica","year":2024,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Grand Équipement National De Calcul Intensif; H2020 Marie Skłodowska-Curie Actions; Université de Liège; Natural Sciences and Engineering Research Council of Canada; European Commission; University of Wisconsin-Madison; H2020 European Research Council; Agence Nationale de la Recherche; National Science Foundation","keywords":"Katabatic wind; Wind speed; Climatology; Extrapolation; Atmospheric sciences; Geology; Environmental science; Pressure gradient; Momentum (technical analysis); Global wind patterns; Meteorology; Geography; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002676048,0.000118032,0.0001403153,0.000003929864,0.0003213933,0.00010743,0.0002585076,0.00004546602,0.002510185],"category_scores_gemma":[0.00001216084,0.00006526128,0.0000749004,0.0005976633,0.0002403062,0.0001063177,0.00002806359,0.0002130226,0.0001076609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002055417,"about_ca_system_score_gemma":0.00007368816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005156048,"about_ca_topic_score_gemma":0.06133838,"domain_scores_codex":[0.9990771,0.00005093157,0.0001932628,0.000187162,0.0002348902,0.0002566483],"domain_scores_gemma":[0.9993256,0.0003664106,0.00004010566,0.0002102454,0.00001748207,0.00004017501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002325621,0.00001057274,0.947526,0.00003466431,0.00006907646,0.00001660271,0.003851252,0.0386249,0.000005048064,0.000687375,0.005516306,0.003634898],"study_design_scores_gemma":[0.0002360703,0.00007847282,0.8342104,0.00009173828,0.00004765634,0.000008390578,0.01364278,0.08848718,0.000001731403,0.001977669,0.06104604,0.00017189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763685,0.006220197,0.0009814025,0.004505461,0.0008881031,0.0003046262,0.00008501027,0.00006188345,0.01058477],"genre_scores_gemma":[0.9986441,0.0002232765,0.0002008212,0.0001897648,0.00006818485,9.047664e-7,0.00001087235,0.000005298346,0.0006567891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1133157,"threshold_uncertainty_score":0.9984016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05316645858319405,"score_gpt":0.229303082179633,"score_spread":0.176136623596439,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}